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Field
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spatial scales (e.g., FeederWatch, NestWatch) while creating dynamic educational content and web applications through which the public can better understand the natural world. The Cornell Lab is widely
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, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. Among the key duties of this position are the following: Design and train vision–text
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participate in lab meetings, research in progress seminars, and presentations at conferences. The Postdoctoral Associate will prepare manuscripts based on their research, aid in developing the PI’s grant
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++, or JavaScript Experience with AI or machine learning techniques, including large language models or agentic systems Experience developing or integrating interactive visualization systems, including web-based
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. Treat populations adversely affected by chemical exposures. Develop educational tools describing relative risks of chemical exposures. Contribute to public policies related to environmental and
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designing innovative location-based software systems and developing cutting-edge, award-winning web and mobile applications – focused on applied innovations for Resilient Organizations. The LIL collaborates
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Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune cells. Our research focuses on development and
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 21 hours ago
and implementation of energy technology policies; apply their scientific, policy, and technical knowledge to the development of solutions to issues of importance to the DOE and continue their education
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://www.daad.org.cn Please note Certificates, proof of credits, references and translations may be scanned in non-certified form and uploaded to the DAAD portal. The DAAD will only request certified copies of documents
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python